code: def setUpClass(cls):
      env_config_path = os.path.abspath(
          os.path.join(
              os.path.dirname(__file__), "..", "..", "..", ".env"
          )
      )
      load_dotenv(env_config_path)
  
      cls.word2vec_model_path = os.path.join(
          os.environ.get("MODEL_DIR"),
          "word",
          "word_embs",
          "GoogleNews-vectors-negative300.bin",
      )
      cls.word2vec_model = naw.WordEmbsAug(
          model_type="word2vec", model_path=cls.word2vec_model_path
      )
      cls.context_word_embs_model = naw.ContextualWordEmbsAug()
  
      cls.tfidf_model_path = os.path.join(
          os.environ.get("MODEL_DIR"), "word", "tfidf"
      )
  
      cls._train_tfidf(cls)
  
file_path: nlpaug/test/augmenter/word/test_word.py
imports: import unittest
  import os
  from dotenv import load_dotenv
  import nlpaug.augmenter.word
  from nlpaug.util import Action, Doc
label_desc: Use image node_id 1 for calling the TestWord obj's underlying member method code with example usage: obj.setUpClass(cls) without return types